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IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG)
e-ISSN: 2321–0990, p-ISSN: 2321–0982.Volume 1, Issue 5 (Nov. – Dec. 2013), PP 21-27 www.iosrjournals.org
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Use of Statistical Parameters in the Sedimentological Study of
Conglomerate Deposits in Northeastern Part of Akwa Ibom State,
Niger Delta Basin, Nigeria
Udo, I. G.1, Mode, A. W.
2
1Department of Geology, University of Nigeria, Nsukka, Nigeria. 2Depatment of Geology, University of Nigeria, Nsukka, Nigeria.
Abstract: Conglomerates and pebbly sandstone abound along a belt of about 50km long and 11km wide in
northeastern part of Akwa Ibom State. Granulometric analysis of 29 samples show the deposits to be poorly to
moderately sorted, having sorting coefficient values ranging between 0.63ф to 1.41ф. Pebble morphometric
analysis of the conglomerates showed that the mean values of the various morphometric parameters range as
follows: flatness ratio (S/L = 0.39-0.58), elongation ratio (I/L =0.64-0.78), maximum projection sphericity (Ψ P
= 0.60-0.77), Oblate Prolate index (Ō P = -1.98 to 4.13), coefficient of flatness (39.25-57.86). Roundness index
determined for the pebbles through simple comparism with Power’s (1953) roundness chart averaged 0.232. Interpretation of pebble morphometric and granulometric results indicate a fluvial environment of deposition
for the deposits.
Keywords: Conglomerate, deposit, environment, fluvial, roundness
I. Introduction A belt of conglomerate showing a northwest-southeast trend covers an area of about 550km2 in
northeastern part of Akwa Ibom State. The Conglomerate deposits cut across Itu, Ini, Ikono, Ibiono Ibom, Uyo
and Uruan Local Government Areas of Akwa Ibom State. The environment of deposition of the deposits has
been controversial. Amajor (1986) studied the conglomerate deposit in Itu Local Government Area of the State
and interpreted the deposits to be of alluvial fan origin. Petters (1989) also worked on the conglomerate deposit in Itu and Ikono Local Government Areas of the State and suggested a beach environment (marginal marine
setting) for the deposits. However, there is no regional view of the conglomerate deposits. The aim of this work
is to determine the depositional setting of the conglomerate deposits based on regional study.
II. Geology of the Study Area The study area is bounded by Longitude 70 401E-80 001E and Latitude 50 011N-50 301N.
Stratigraphically, the deposits belong to Ameki Formation. Reyment (1965) described Ameki Formation as a
series of highly fossiliferous grey-green sandy clays with calcareous concretions and white clayey sandstones.
The lower part consists of fine to coarse sandstones and intercalations of calcareous shale and thin, shelly limestone, the upper with coarse, cross-bedded sandstones, bands of fine sandstones and sandy clays. It is
locally rich in Molluscs, foraminifera and Ostracods. Lithologically, Ameki Formation is very heterogeneous
(Wilson, 1925; Reyment, 1965; Adegoke, 1969). Arua and Rao, 1986 noted the presence of pebbles in Ameki
Formation. Agagu et. al (1985) and Petters (1978) have interpreted the Ameki Formation to be Estuarine,
Lagoon and open marine setting. The Ameki Group consists of the Nanka sand, Nsugbe Formation and Ameki
Formation (Nwajide, 1979). The Formation has been considered to be either Early Eocene (Reyment, 1965) or
early to Middle Eocene (Berggren, 1960; Adegoke, 1969) and deposited in estuarine, lagoonal and open marine
environment content. White (1926) assigned an estuarine environment because of the presence of fish species of
known estuarine affinity. Adegoke (1969), however, indicated that the fish were probably washed into the
Ameki sea from inland waters, and preferred an open marine depositional environment. Nwajide (1979) and
Arua (1986) suggested environments that ranged from nearhore (barrier ridge-lagoonal complex) to intertidal and subtidal zones of the shelf environment, whereas Fayose and Ola (1990) suggested that the sediments were
deposited in marine waters between the depth of 10m to 100m. According to Nwajide and Reijers (1996), the
progradational Nanka Formation marks the return to regressive conditions. The outcropping deposits of the
Eocene regression, which marks the beginning of the Niger Delta progradation, constitute the Ameki Group,
which include the tidal facies and backshores as well as pro-delta facies. The prograding shoreface and river
deposits are reflected in the subsurface deposits of Agbada Formation in the Northern depobelts of the Niger
Delta.
Use Of Statistical Parameters In The Sedimentological Study Of Conglomerate Deposits In
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fig.1. geological map showing the study area
III. Methodology Representative samples of the various lithologic units were collected from outcrops in the study area.
Each was disaggregated and sieved through 4mm screen to separate the gravels from sand for pebble
morphometric analysis and granulometric analysis respectively. Computation of maximum projection sphericity (Ψ P), Oblate Prolate index (Ō P ), coefficient of flatness, inclusive graphic skewness, inclusive graphic
standard deviation, graphic kurtosis, and mean grain size were done using appropriate formulae. Qualitative
estimate of the Roundness of the pebbles was noted through simple comparison with Power Roundness chart
(After Power,1953).
IV. Result The mean values of the various morphometric parameters range as follows: flatness ratio (S/L = 0.39-
0.58), elongation ratio (I/L =0.64-0.78), maximum projection sphericity (Ψ P = 0.60-0.77), Oblate Prolate index
(Ō P = -1.98 to 4.13), coefficient of flatness (39.25-57.86), roundness = 0.232 (TABLE 1). Considering the mean geometric forms, 72% of the samples were bladed, 22% were compact bladed and 6% were compact
elongate (TABLE 1).
From the granulometric results of 29 samples (TABLE 2), the skewness values indicate that 62.1% of
the samples are positively skewed, 27.6% are symmetrical, while 10.3% are negatively skewed. The kurtosis
values indicate that 31% of the samples are leptokurtic, 38% mesokurtic and 31% platykurtic. Sorting values
indicate that 96.6% of the samples are poorly sorted while 3.4% is moderately sorted.
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TABLE 1: Mean Values of Pebbles Measured SAMPLE
NUMBER
𝑰
𝑳
𝑺
𝑳
𝑳 − 𝑰
𝑳 − 𝑺
ΨP OP COEFFICIENT
OF FLATNESS
FORM MEAN
ROUNDNESS
IN25S2 0.6566 0.4779 0.6539 0.6833 3.4550 47.78 B 0.250
IN4S1 0.6986 0.3935 0.5022 0.5992 -0.1503 39.25 B 0.219
IN5S1 0.7349 0.4755 0.5257 0.6744 0.0816 47.55 B 0.255
IN8S2 0.7411 0.4874 0.5015 0.6842 -0.1746 48.74 B 0.223
IN10S3 0.7343 0.4948 0.5289 0.6912 0.5297 49.48 B 0.222
IN27S1 0.7124 0.4060 0.4960 0.6150 -0.5458 40.60 B 0.245
IK2S1 0.7341 0.4709 0.5046 0.6685 0.0680 47.09 B 0.223
IB7S1 0.7728 0.5160 0.4604 0.6958 0.7556 51.60 CB 0.233
IB12S1 0.7691 0.4779 0.4389 0.6648 -1.3145 47.79 B 0.230
IB8S1 0.7316 0.4587 0.4879 0.6601 -0.0922 45.87 B 0.252
IN12S2 0.6737 0.4603 0.6007 0.6792 2.3940 46.03 B 0.222
IN7S1 0.6957 0.4577 0.5531 0.6652 1.4920 45.77 B 0.223
IN16S2 0.7379 0.4874 0.5193 0.6806 0.3104 48.74 B 0.223
IT1S1 0.6815 0.4720 0.6026 0.6860 2.3569 47.20 B 0.232
IB4S1 0.7210 0.5044 0.5459 0.7044 1.1715 50.44 CB 0.237
IK1S2 0.7207 0.4940 0.5609 0.6934 1.1023 49.40 B 0.236
IB2S1 0.6453 0.4613 0.6694 0.6882 3.5278 46.17 B 0.239
IB9S1 0.6815 0.4537 0.5888 0.6689 1.8027 45.37 B 0.242
IT2S1 0.7096 0.5166 0.6042 0.7207 2.0755 51.66 CB 0.244
UR1S1 0.6814 0.4653 0.6040 0.6780 2.1505 46.53 B 0.244
IB10S1 0.6567 0.4563 0.6380 0.6824 3.0401 45.63 B 0.235
IT5S2 0.6984 0.4583 0.5846 0.6652 1.4480 45.83 B 0.240
IN26S1 0.7066 0.4845 0.5959 0.6983 1.8147 48.45 B 0.230
IB3S1 0.7153 0.4620 0.5151 0.6636 0.2526 46.20 B 0.232
UR2S1 0.7587 0.4263 0.4194 0.6208 -1.9848 42.63 B 0.229
UY1S1 0.7018 0.4516 0.5499 0.6562 1.1273 45.16 B 0.233
IT4S1 0.7051 0.4578 0.5516 0.6746 0.9352 45.78 B 0.247
IB18S1 0.6575 0.4598 0.6327 0.6853 2.9708 45.98 B 0.231
IB17S1 0.6840 0.4746 0.6153 0.6887 2.2032 47.46 B 0.234
IB16S1 0.7064 0.4698 0.5437 0.6762 1.2124 46.98 B 0.239
IB15S1 0.7380 0.4812 0.4929 0.6785 0.1589 48.12 B 0.224
IN13S6 0.6448 0.4187 0.6152 0.6452 2.7881 41.87 B 0.237
IN14S1 0.7565 0.4797 0.4911 0.6701 -0.6787 47.97 B 0.238
IN11S4 0.7010 0.4107 0.5213 0.6193 0.1173 41.07 B 0.235
IN9S5 0.7402 0.4696 0.4945 0.6664 -0.2126 46.96 B 0.227
IB5S1 0.7176 0.4668 0.5284 0.6698 0.6953 46.68 B 0.231
IN6S1 0.7312 0.4847 0.5351 0.6827 0.5527 48.42 B 0.231
IB6S1 0.7775 0.4879 0.4441 0.6736 -1.4001 48.79 B 0.235
IN1S1 0.7119 0.4542 0.5276 0.6620 0.6668 45.42 B 0.230
IN3S6 0.7308 0.4611 0.5073 0.6592 0.0176 46.11 B 0.230
IN2S1 0.6567 0.5157 0.7052 0.7410 4.1315 51.57 CE 0.220
IN17S1 0.7367 0.5428 0.5645 0.7341 1.3996 54.28 B 0.224
IK3S1 0.6822 0.5013 0.6417 0.7190 2.7856 50.13 CB 0.223
IN15S1 0.7103 0.5743 0.6945 0.7706 3.3114 57.43 CE 0.217
IT6S2 0.6836 0.5322 0.6853 0.7444 3.4272 53.22 CE 0.226
IT3S4 0.7083 0.5406 0.6316 0.7440 2.5377 54.06 CB 0.224
IB13S5 0.7191 0.5529 0.6286 0.7504 2.4204 55.29 CB 0.227
IB14S2 0.7136 0.5467 0.6258 0.7424 2.4082 54.67 CB 0.225
IB11S2 0.7710 0.5786 0.5467 0.7542 0.7908 57.86 CB 0.221
IB20S2 0.7391 0.5515 0.5803 0.7437 1.4694 55.15 CB 0.224
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B – Bladed CB – Compact Bladed CE – Compact Elongate
TABLE 2. Grain Size Parameters
SAMPLE Ф5 Ф16 Ф25 Φ50 Φ75 Φ84 Φ95 Mz σ₁ SKı KG REMARK
IB6S1 -0.85 -0.42 -0.20 0.50 1.38 1.60 2.30 0.56 0.98 0.12 0.82 MS,PK,P
IN7S1 -0.66 -0.27 -0.05 0.57 1.30 1.65 2.35 0.65 0.94 0.15 0.91 MS,PK,M
IN4S5 -0.94 -0.40 -0.05 0.60 1.00 1.58 2.45 0.59 1.01 0.04 1.32 PS,S,L
IB8S1 -0.68 -0.12 0.20 1.10 2.05 2.40 3.30 1.13 1.23 0.07 0.88 PS,S,P
IN6S1 -0.91 -0.40 -0.15 0.66 1.68 2.15 3.20 0.80 1.26 0.20 0.92 PS,PK,M
IB2S2 -0.64 -0.05 0.40 1.15 1.50 1.80 2.43 0.97 0.93 -0.23 1.14 MS,NK,L
IN16S2 -0.80 -0.42 -0.21 0.35 1.15 1.50 2.25 0.48 0.94 0.22 0.92 MS,PK,M
IB5S1 -0.95 -0.21 0.10 0.60 1.25 1.55 2.10 0.65 0.90 0.03 1.09 MS,S,M
IB14S2 -0.7 -0.37 -0.15 0.60 1.50 1.90 2.80 0.71 1.10 0.20 0.87 PS,PK,P
IN25S2 -0.93 -0.30 0.00 0.64 1.30 1.65 2.30 0.66 0.98 0.03 1.02 MS,S,M
IN10S3 -0.80 -0.43 -0.25 0.18 0.76 1.00 2.00 0.25 0.78 0.22 1.14 MS,PK,L
IN14S1 -0.63 -0.33 -0.18 0.40 0.89 1.40 2.64 0.49 0.93 0.26 1.25 MS,PK,L
IN2S2 -0.63 0.04 0.38 0.84 1.57 1.84 2.89 0.91 0.98 0.14 1.21 MS,PK,L
IK4S1 -0.20 0.30 0.45 0.88 1.35 1.65 2.45 0.94 0.74 0.16 1.21 MS,PK,L
IN26S1 -0.98 -0.46 -0.20 0.40 1.30 1.75 2.64 0.56 1.10 0.23 0.99 PS,PK,M
IN1S2 -0.97 -0.50 -0.30 0.40 1.39 2.16 2.75 0.69 1.23 0.29 0.90 PS,PK,M
IT5S3 -0.64 -0.37 -0.20 0.38 1.10 1.40 2.25 0.47 0.88 0.22 0.91 MS,PK,M
UR2S1 -0.45 0.55 1.20 2.60 3.10 3.24 3.48 2.13 1.27 -0.54 0.85 PS,VNK,P
IT3S4 0.15 0.43 0.59 1.05 1.50 1.72 2.17 1.07 0.63 0.07 0.91 MWS,S,M
IB13S5 -0.93 -0.35 -0.05 0.65 1.50 2.10 3.14 0.80 1.23 0.20 1.08 PS,PK,M
IB7S1 -0.87 -0.42 0.03 0.82 1.50 1.65 1.98 0.68 0.95 -0.19 0.79 MS,NK,P
IN17S1 -0.77 -0.27 0.00 0.94 2.25 2.80 3.50 1.16 1.41 0.21 0.78 PS,PK,P
IN8S2 -0.92 -0.39 -0.10 -0.60 1.14 1.54 2.50 0.18 1.00 1.02 1.13 PS,PK,L
IK2S1 -0.66 -0.19 0.00 0.86 1.64 1.93 2.60 0.87 1.02 0.04 0.81 PS,S,P
IN12S6 -0.92 -0.35 0.05 0.70 1.50 2.05 3.10 0.80 1.21 0.16 1.14 PS,PK,L
IN13S6 -0.77 -0.38 -0.20 0.35 1.14 1.46 2.20 0.48 0.91 0.23 0.91 MS,PK,P
IB4S1 -0.85 -0.25 -0.10 0.80 1.40 1.64 2.27 0.73 0.95 -0.08 0.85 MS,S,P
UR1S1 -0.68 -0.37 -0.23 0.12 1.00 1.34 2.05 0.36 0.84 0.42 0.91 MS,VPK,M
IT2S1 -0.82 -0.28 1.00 0.70 1.40 1.70 2.48 0.71 1.00 0.04 3.38 PS,S,EL
Legend
PS – Poorly sorted NK – Negatively skewed L – Leptokurtic
MS – Moderately sorted VPK – Very positively skewed EL – Extremely leptokurtic
MWS – Moderately well sorted VNK – Very negatively skewed S - Symmetrical
PK – Positively skewed P – Platykurtic M - Mesokurtic
V. Discussion According to Dobkin and Folk (1970), Gale (1990), particular gravel clasts shape concentrate in
particular environments. For example Disc accumulates on beaches while rollers (Elongate clasts) and Bladed
accumulate in rivers. From the result (TABLE 1), 72% of the samples were Bladed, 22% were compact Bladed,
6% were compact Elongate. Since the mean geometric form were Bladed, compact Bladed, and compact
Elongate (Fig.3), it means that the environment of deposition is likely to be fluviatile.
In a comperative study of gravels obtained from beaches and rivers in Southern Africa, Stratten (1974)
found that fluvial pebbles have mean coefficient of flatness of more than 45 and that their mean sphericities
exceeds 0.65. Dobkin and Folk (1970), in their study of basalt pebbles in rivers and beaches in Tahiti-Nui,
arrived at a lower limit of 0.66 for the mean sphericity of fluvial pebbles, a figure very close to that of stratten
(1974). Dobkin and Folk (1970), also found that the mean Oblate-Prolate index of fluvial pebbles exceeds -1.5,
whereas the value of beach pebbles is lower. It seems, therefore, that the following values are approximate lower index limits for pebbles shaped in a fluvial environment:
Sphericity 0.65
Coefficient of flatness 45
Oblate-Prolate index -1.5
From the result, the means of the above three indices for almost all the localities are well above the
lower limits for fluvial pebbles thus lending credence to fluvial origin.
Plot of maximum projection sphericity against coefficient of flatness(Fig.2) shows that majority of the
points lie in the fluvial field of Stratten (1974).
Bivariate plot of maximum projection sphericity versus Oblate-Prolate index (Fig.4) also shows most
of the points plotting within the fluvial realm.
Sames (1966) found that roundness values less than 0.350 are typical of river pebbles whereas values more than 0.450 suggest littoral environment. Dobkin and Folk (1970) established for river and beach pebbles,
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mean roundness values of 0.375 and 0.508 respectively. From these values, it appears that a mean roundness
index of 0.380 is the upper limit for pebbles shaped by a river.
The mean roundness value for pebbles in the study area calculated from TABLE 1 is 0.232. This is well below the critical value of 0.380 for river pebbles.
According to McManus (1995), beach sands are well sorted and negatively skewed while river sands
are less well sorted and usually positively skewed. From the granulometric result (TABLE 2), the sorting values
indicate that 96.6% of the samples are poorly sorted while 3.4% is moderately well sorted. The skewness values
indicate that 62.1% of the samples are positively skewed, 27.6% are symmetrical, while 10.3% are negatively
skewed. The poorly sorted nature of the samples and the positively skewed nature of most of the samples
support fluvial origin.
Bivariate plots of skewness versus sorting (Fig.6) and mean grain size versus sorting (Fig.5) indicate
that the environment of deposition is fluvial (Friedman 1967, Moiola and Weiser 1968).
fig.2. plot of coefficient of flatness versus ψp after Stratten, 1974
0
10
20
30
40
50
60
70
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
Series1
RIVER
BEACH
MAXIMUM PROJECTION SPHERICITY (ψp)
CO
EFFI
CIE
NT
OF
FLA
TNES
S
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fig. 3. sphericity form diagram after Sneed and Folk (1970). each point is an average of twenty pebbles.
fig. 4. plot of ψp versus OP after Dobkin and Folk (1970)
fig. 5. plot of mean grain size versus sorting after Moiola and Weiser, 1968
Use Of Statistical Parameters In The Sedimentological Study Of Conglomerate Deposits In
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fig. 6. plot of skewness versus sorting after Friedman, 1967
VI. Conclusion
This study reveals that the conglomerate deposits in Northeastern part of Akwa Ibom State, Niger Delta
basin, Nigeria are of fluvial origin.
Acknowledgement We are grateful to Udom, G. J. for his helpful comments.
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